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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Observational Studies ([EBook] /) / by Paul R. Rosenbaum.
Author
Rosenbaum, Paul R.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : : Springer New York : : Imprint: Springer, , 1995.
Physical Details
XV, 231 p. : online resource.
Series
Springer Series in Statistics
0172-7397
ISBN
9781475724431
Summary Note
An observational study is an empirical investigation of the effects of treatments, policies, or exposures. It differes from an experiment in that the investigator cannot control the assignments of treatments to subjects. Scientists across a wide range of disciplines undertake such studies, and the aim of this book is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers involved in observational studes will find this an invaluable companion to their work.:
Contents note
1 Observational Studies -- 2 Randomized Experiments -- 3 Overt Bias in Observational Studies -- 4 Sensitivity to Hidden Bias -- 5 Known Effects -- 6 Multiple Reference Groups in Case-Referent Studies -- 7 Multiple Control Groups -- 8 Coherence and Focused Hypotheses -- 9 Constructing Matched Sets and Strata -- 10 Some Strategic Issues.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4757-2443-1
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Subject References:
Statistics
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Statistics, general
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Authors:
Rosenbaum, Paul R.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Springer Series in Statistics
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Classification:
519.5
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